Extended LATER model can account for trial-by-trial variability of both pre- and post-processes.
Hiroyuki NakaharaKae NakamuraOkihide HikosakaPublished in: Neural Networks (2006)
Keyphrases
- computational model
- probabilistic model
- neural network
- high level
- similarity measure
- experimental data
- mathematical model
- prior knowledge
- process model
- theoretical framework
- data mining
- linear model
- bayesian framework
- sensitivity analysis
- parameter estimation
- theoretical analysis
- multiscale
- bayesian networks
- image sequences
- artificial intelligence
- formal model
- parameter values
- information retrieval